Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDHermann Ney
Person information
- affiliation: RWTH Aachen University, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[c705]Christian Herold, Jan Rosendahl, Joris Vanvinckenroye, Hermann Ney:
Detecting Various Types of Noise for Neural Machine Translation. ACL (Findings) 2022: 2542-2551- [c704]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
Conformer-Based Hybrid ASR System For Switchboard Dataset. ICASSP 2022: 7437-7441 - [c703]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. ICASSP 2022: 7442-7446 - [c702]Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney:
Efficient Sequence Training of Attention Models Using Approximative Recombination. ICASSP 2022: 8002-8006 - [c701]Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
On Language Model Integration for RNN Transducer Based Speech Recognition. ICASSP 2022: 8407-8411 - [c700]Frithjof Petrick, Jan Rosendahl, Christian Herold, Hermann Ney:
Locality-Sensitive Hashing for Long Context Neural Machine Translation. IWSLT@ACL 2022: 32-42 - [i69]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. CoRR abs/2201.09692 (2022) - [i68]Wei Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Efficient Training of Neural Transducer for Speech Recognition. CoRR abs/2204.10586 (2022) - [i67]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Ralf Schlüter, Hermann Ney:
Improving the Training Recipe for a Robust Conformer-based Hybrid Model. CoRR abs/2206.12955 (2022) - 2021
- [c699]Evgeniia Tokarchuk, David Thulke, Weiyue Wang, Christian Dugast, Hermann Ney:
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition. ACL (student) 2021: 1-15 - [c698]Weiyue Wang
, Zijian Yang, Yingbo Gao, Hermann Ney:
Transformer-Based Direct Hidden Markov Model for Machine Translation. ACL (student) 2021: 23-32 - [c697]Nico Daheim, David Thulke, Christian Dugast, Hermann Ney:
Cascaded Span Extraction and Response Generation for Document-Grounded Dialog. DialDoc@ACL-IJCNLP 2021: 57-62 - [c696]Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney:
On Architectures and Training for Raw Waveform Feature Extraction in ASR. ASRU 2021: 267-274 - [c695]Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney:
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures. ASRU 2021: 788-795 - [c694]Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition. ICASSP 2021: 5644-5648 - [c693]Yingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney:
On Sampling-Based Training Criteria for Neural Language Modeling. Interspeech 2021: 1877-1881 - [c692]Hermann Ney:
Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning. Interspeech 2021 - [c691]Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Librispeech Transducer Model with Internal Language Model Prior Correction. Interspeech 2021: 2052-2056 - [c690]Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models. Interspeech 2021: 2856-2860 - [c689]Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition. Interspeech 2021: 2886-2890 - [c688]Wei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept. Interspeech 2021: 2891-2895 - [c687]Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. IWSLT 2021: 276-286 - [c686]Christian Herold, Jan Rosendahl, Joris Vanvinckenroye, Hermann Ney:
Data Filtering using Cross-Lingual Word Embeddings. NAACL-HLT 2021: 162-172 - [c685]Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney:
Tight Integrated End-to-End Training for Cascaded Speech Translation. SLT 2021: 950-957 - [c684]Parnia Bahar, Christopher Brix, Hermann Ney:
Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling Using a Two-Dimensional Grid. SLT 2021: 1065-1070 - [i66]David Thulke, Nico Daheim, Christian Dugast, Hermann Ney:
Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog. CoRR abs/2102.04643 (2021) - [i65]Albert Zeyer, Ralf Schlüter, Hermann Ney:
A study of latent monotonic attention variants. CoRR abs/2103.16710 (2021) - [i64]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Towards Consistent Hybrid HMM Acoustic Modeling. CoRR abs/2104.02387 (2021) - [i63]Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Librispeech Transducer Model with Internal Language Model Prior Correction. CoRR abs/2104.03006 (2021) - [i62]Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Feature Replacement and Combination for Hybrid ASR Systems. CoRR abs/2104.04298 (2021) - [i61]Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney:
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures. CoRR abs/2104.05379 (2021) - [i60]Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models. CoRR abs/2104.05544 (2021) - [i59]Wei Zhou, Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept. CoRR abs/2104.06104 (2021) - [i58]Wei Zhou, Mohammad Zeineldeen, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition. CoRR abs/2104.09106 (2021) - [i57]Yingbo Gao, David Thulke, Alexander Gerstenberger, Khoa Viet Tran, Ralf Schlüter, Hermann Ney:
On Sampling-Based Training Criteria for Neural Language Modeling. CoRR abs/2104.10507 (2021) - [i56]Albert Zeyer, Ralf Schlüter, Hermann Ney:
Why does CTC result in peaky behavior? CoRR abs/2105.14849 (2021) - [i55]Nico Daheim, David Thulke, Christian Dugast, Hermann Ney:
Cascaded Span Extraction and Response Generation for Document-Grounded Dialog. CoRR abs/2106.07275 (2021) - [i54]Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. CoRR abs/2109.12950 (2021) - [i53]Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney:
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer. CoRR abs/2109.13097 (2021) - [i52]Evgeniia Tokarchuk, David Thulke, Weiyue Wang, Christian Dugast, Hermann Ney:
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition. CoRR abs/2110.05892 (2021) - [i51]Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney:
On Language Model Integration for RNN Transducer based Speech Recognition. CoRR abs/2110.06841 (2021) - [i50]Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney:
Efficient Sequence Training of Attention Models using Approximative Recombination. CoRR abs/2110.09245 (2021) - [i49]Felix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
Automatic Learning of Subword Dependent Model Scales. CoRR abs/2110.09324 (2021) - [i48]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
Conformer-based Hybrid ASR System for Switchboard Dataset. CoRR abs/2111.03442 (2021) - [i47]Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney:
Self-Normalized Importance Sampling for Neural Language Modeling. CoRR abs/2111.06310 (2021) - [i46]David Thulke, Nico Daheim, Christian Dugast, Hermann Ney:
Adapting Document-Grounded Dialog Systems to Spoken Conversations using Data Augmentation and a Noisy Channel Model. CoRR abs/2112.08844 (2021) - 2020
- [j100]Oscar Koller, Necati Cihan Camgöz, Hermann Ney, Richard Bowden:
Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2306-2320 (2020) - [c683]Christopher Brix, Parnia Bahar, Hermann Ney:
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture. ACL 2020: 3909-3915 - [c682]Parnia Bahar, Nikita Makarov, Hermann Ney:
Investigation of Transformer-based Latent Attention Models for Neural Machine Translation. AMTA 2020: 7-20 - [c681]Matthias Huck, Hermann Ney:
Pivot Lightly-Supervised Training for Statistical Machine Translation. AMTA 2020 - [c680]Yingbo Gao, Baohao Liao, Hermann Ney:
Unifying Input and Output Smoothing in Neural Machine Translation. COLING 2020: 4361-4372 - [c679]Zhihong Lei, Weiyue Wang, Christian Dugast, Hermann Ney:
Neural Language Modeling for Named Entity Recognition. COLING 2020: 6937-6941 - [c678]Yunsu Kim, Miguel Graça, Hermann Ney:
When and Why is Unsupervised Neural Machine Translation Useless? EAMT 2020: 35-44 - [c677]Baohao Liao, Yingbo Gao, Hermann Ney:
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation. EMNLP (Findings) 2020: 1715-1724 - [c676]Kazuki Irie, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
How Much Self-Attention Do We Needƒ Trading Attention for Feed-Forward Layers. ICASSP 2020: 6154-6158 - [c675]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Frame-Level MMI as A Sequence Discriminative Training Criterion for LVCSR. ICASSP 2020: 6904-6908 - [c674]Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems. ICASSP 2020: 7069-7073 - [c673]Vitalii Bozheniuk, Albert Zeyer, Ralf Schlüter, Hermann Ney:
A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR. ICASSP 2020: 7674-7678 - [c672]Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR. ICASSP 2020: 7679-7683 - [c671]Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid Hmm Based Speech Recognition Using LSTM Language Model. ICASSP 2020: 7834-7838 - [c670]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment. ICASSP 2020: 7839-7843 - [c669]Parnia Bahar, Nikita Makarov, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition. ICASSP 2020: 7854-7858 - [c668]Alexander Gerstenberger, Kazuki Irie, Pavel Golik, Eugen Beck, Hermann Ney:
Domain Robust, Fast, and Compact Neural Language Models. ICASSP 2020: 7954-7958 - [c667]Yingbo Gao, Weiyue Wang, Christian Herold, Zijian Yang, Hermann Ney:
Towards a Better Understanding of Label Smoothing in Neural Machine Translation. AACL/IJCNLP 2020: 212-223 - [c666]Zijian Yang, Yingbo Gao, Weiyue Wang, Hermann Ney:
Predicting and Using Target Length in Neural Machine Translation. AACL/IJCNLP 2020: 389-395 - [c665]Wei Zhou, Ralf Schlüter, Hermann Ney:
Robust Beam Search for Encoder-Decoder Attention Based Speech Recognition Without Length Bias. INTERSPEECH 2020: 1768-1772 - [c664]Eugen Beck, Ralf Schlüter, Hermann Ney:
LVCSR with Transformer Language Models. INTERSPEECH 2020: 1798-1802 - [c663]Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
A New Training Pipeline for an Improved Neural Transducer. INTERSPEECH 2020: 2812-2816 - [c662]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. INTERSPEECH 2020: 3605-3609 - [c661]Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Investigation of Large-Margin Softmax in Neural Language Modeling. INTERSPEECH 2020: 3645-3649 - [c660]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling Without Explicit Phone Clustering. INTERSPEECH 2020: 4377-4381 - [c659]Harald Hanselmann, Hermann Ney:
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding. WACV 2020: 1236-1245 - [c658]Jingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney:
Diving Deep into Context-Aware Neural Machine Translation. WMT@EMNLP 2020: 604-616 - [c657]Peter Stanchev, Weiyue Wang, Hermann Ney:
Towards a Better Evaluation of Metrics for Machine Translation. WMT@EMNLP 2020: 928-933 - [e2]Marcello Federico, Alex Waibel, Kevin Knight, Satoshi Nakamura, Hermann Ney, Jan Niehues, Sebastian Stüker, Dekai Wu, Joseph Mariani, François Yvon:
Proceedings of the 17th International Conference on Spoken Language Translation, IWSLT 2020, Online, July 9 - 10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-07-1 [contents] - [i45]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment. CoRR abs/2004.00960 (2020) - [i44]Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model. CoRR abs/2004.00967 (2020) - [i43]Yunsu Kim, Miguel Graça, Hermann Ney:
When and Why is Unsupervised Neural Machine Translation Useless? CoRR abs/2004.10581 (2020) - [i42]Christopher Brix, Parnia Bahar, Hermann Ney:
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture. CoRR abs/2005.03454 (2020) - [i41]Harald Hanselmann, Hermann Ney:
Fine-Grained Visual Classification with Efficient End-to-end Localization. CoRR abs/2005.05123 (2020) - [i40]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling without Explicit Phone Clustering. CoRR abs/2005.07578 (2020) - [i39]Albert Zeyer, André Merboldt, Ralf Schlüter, Hermann Ney:
A New Training Pipeline for an Improved Neural Transducer. CoRR abs/2005.09319 (2020) - [i38]Albert Zeyer, Wei Zhou, Thomas Ng, Ralf Schlüter, Hermann Ney:
Investigations on Phoneme-Based End-To-End Speech Recognition. CoRR abs/2005.09336 (2020) - [i37]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. CoRR abs/2005.10049 (2020) - [i36]Jingjing Huo, Yingbo Gao, Weiyue Wang, Ralf Schlüter, Hermann Ney:
Investigation of Large-Margin Softmax in Neural Language Modeling. CoRR abs/2005.10089 (2020) - [i35]Jingjing Huo, Christian Herold, Yingbo Gao, Leonard Dahlmann, Shahram Khadivi, Hermann Ney:
Diving Deep into Context-Aware Neural Machine Translation. CoRR abs/2010.09482 (2020) - [i34]Wei Zhou, Simon Berger, Ralf Schlüter, Hermann Ney:
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition. CoRR abs/2010.16368 (2020) - [i33]Parnia Bahar, Christopher Brix, Hermann Ney:
Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid. CoRR abs/2011.12165 (2020) - [i32]Parnia Bahar, Tobias Bieschke, Ralf Schlüter, Hermann Ney:
Tight Integrated End-to-End Training for Cascaded Speech Translation. CoRR abs/2011.12167 (2020)
2010 – 2019
- 2019
- [j99]Ralf Schlüter, Eugen Beck, Hermann Ney:
Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 502-514 (2019) - [j98]Muhammad Ali Tahir, Heyun Huang, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition. Speech Commun. 110: 56-63 (2019) - [c656]Yunsu Kim, Yingbo Gao, Hermann Ney:
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies. ACL (1) 2019: 1246-1257 - [c655]Albert Zeyer, Parnia Bahar, Kazuki Irie, Ralf Schlüter, Hermann Ney:
A Comparison of Transformer and LSTM Encoder Decoder Models for ASR. ASRU 2019: 8-15 - [c654]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Training Language Models for Long-Span Cross-Sentence Evaluation. ASRU 2019: 419-426 - [c653]Parnia Bahar, Tobias Bieschke, Hermann Ney:
A Comparative Study on End-to-End Speech to Text Translation. ASRU 2019: 792-799 - [c652]Yunsu Kim, Duc Thanh Tran, Hermann Ney:
When and Why is Document-level Context Useful in Neural Machine Translation? DiscoMT@EMNLP 2019: 24-34 - [c651]Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. EMNLP/IJCNLP (1) 2019: 866-876 - [c650]Yingbo Gao, Weiyue Wang, Hermann Ney:
uniblock: Scoring and Filtering Corpus with Unicode Block Information. EMNLP/IJCNLP (1) 2019: 1324-1329 - [c649]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using 2D Sequence-to-sequence Models for Speech Recognition. ICASSP 2019: 5671-5675 - [c648]Tobias Menne, Ralf Schlüter, Hermann Ney:
Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR. ICASSP 2019: 6660-6664 - [c647]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention. INTERSPEECH 2019: 231-235 - [c646]Markus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney:
Cumulative Adaptation for BLSTM Acoustic Models. INTERSPEECH 2019: 754-758 - [c645]André Merboldt, Albert Zeyer, Ralf Schlüter, Hermann Ney:
An Analysis of Local Monotonic Attention Variants. INTERSPEECH 2019: 1398-1402 - [c644]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. INTERSPEECH 2019: 1601-1605 - [c643]Tobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney:
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. INTERSPEECH 2019: 2638-2642 - [c642]Kazuki Irie, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Language Modeling with Deep Transformers. INTERSPEECH 2019: 3905-3909 - [c641]Anna Piunova, Eugen Beck, Ralf Schlüter, Hermann Ney:
Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings. INTERSPEECH 2019: 4205-4209 - [c640]Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney:
On Using SpecAugment for End-to-End Speech Translation. IWSLT 2019 - [c639]Yingbo Gao, Christian Herold, Weiyue Wang, Hermann Ney:
Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification. IWSLT 2019 - [c638]Jan Rosendahl, Viet Anh Khoa Tran, Weiyue Wang, Hermann Ney:
Analysis of Positional Encodings for Neural Machine Translation. IWSLT 2019 - [c637]Yunsu Kim, Hendrik Rosendahl, Nick Rossenbach, Jan Rosendahl, Shahram Khadivi, Hermann Ney:
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron. RepL4NLP@ACL 2019: 61-71 - [c636]Miguel Graça, Yunsu Kim, Julian Schamper, Shahram Khadivi, Hermann Ney:
Generalizing Back-Translation in Neural Machine Translation. WMT (1) 2019: 45-52 - [c635]Jan Rosendahl, Christian Herold, Yunsu Kim, Miguel Graça, Weiyue Wang, Parnia Bahar, Yingbo Gao, Hermann Ney:
The RWTH Aachen University Machine Translation Systems for WMT 2019. WMT (2) 2019: 349-355 - [c634]Peter Stanchev, Weiyue Wang, Hermann Ney:
EED: Extended Edit Distance Measure for Machine Translation. WMT (2) 2019: 514-520 - [i31]Qihui Feng, Weiyue Wang, Evgeniia Tokarchuk, Christian Dugast, Hermann Ney:
Data Processing Techniques for the TAC-KBP 2019 EDL Task. TAC 2019 - [i30]Yunsu Kim, Andreas Guta, Joern Wuebker, Hermann Ney:
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing. CoRR abs/1901.01574 (2019) - [i29]Yunsu Kim, Julian Schamper, Hermann Ney:
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. CoRR abs/1901.01577 (2019) - [i28]Yunsu Kim, Jiahui Geng, Hermann Ney:
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. CoRR abs/1901.01590 (2019) - [i27]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention - w/o Data Augmentation. CoRR abs/1905.03072 (2019) - [i26]Tobias Menne, Ilya Sklyar, Ralf Schlüter, Hermann Ney:
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech. CoRR abs/1905.03500 (2019) - [i25]